2007 | ||
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24 | Daniel Dajun Zeng, Ivan Gotham, Ken Komatsu, Cecil Lynch, Mark Thurmond, David Madigan, Bill Lober, James Kvach, Hsinchun Chen: Intelligence and Security Informatics: Biosurveillance, Second NSF Workshop, BioSurveillance 2007, New Brunswick, NJ, USA, May 22, 2007, Proceedings. Springer 2007 | |
23 | EE | Suhrid Balakrishnan, David Madigan: Finding Predictive Runs with LAPS. ICDM 2007: 415-420 |
22 | EE | David Madigan, Sushil Mittal, Fred Roberts: Sequential Decision Making Algorithms for Port of Entry Inspection: Overcoming Computational Challenges. ISI 2007: 1-7 |
2006 | ||
21 | EE | Suhrid Balakrishnan, David Madigan: Decision Trees for Functional Variables. ICDM 2006: 798-802 |
20 | EE | Saket Anand, David Madigan, Richard J. Mammone, Saumitr Pathak, Fred Roberts: Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures. ISI 2006: 319-330 |
19 | EE | Aynur A. Dayanik, David D. Lewis, David Madigan, Vladimir Menkov, Alexander Genkin: Constructing informative prior distributions from domain knowledge in text classification. SIGIR 2006: 493-500 |
18 | EE | David Madigan, Yehuda Vardi, Ishay Weissman: Extreme value theory applied to document retrieval from large collections. Inf. Retr. 9(3): 273-294 (2006) |
2005 | ||
17 | EE | David Madigan, E. Einahrawy, R. P. Martin, Wen-Hua Ju, P. Krishnan, A. S. Krishnakumar: Bayesian indoor positioning systems. INFOCOM 2005: 1217-1227 |
2003 | ||
16 | EE | Dmitriy Fradkin, David Madigan: Experiments with random projections for machine learning. KDD 2003: 517-522 |
15 | EE | Greg Ridgeway, David Madigan: A Sequential Monte Carlo Method for Bayesian Analysis of Massive Datasets. Data Min. Knowl. Discov. 7(3): 301-319 (2003) |
2002 | ||
14 | EE | Greg Ridgeway, David Madigan: Bayesian analysis of massive datasets via particle filters. KDD 2002: 5-13 |
13 | David Madigan, Nandini Raghavan, William DuMouchel, Martha Nason, Christian Posse, Greg Ridgeway: Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction. Data Min. Knowl. Discov. 6(2): 173-190 (2002) | |
2000 | ||
12 | EE | Tapas Kanungo, Robert M. Haralick, Henry S. Baird, Werner Stuetzle, David Madigan: A Statistical, Nonparametric Methodology for Document Degradation Model Validation. IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1209-1223 (2000) |
11 | EE | Surajit Chaudhuri, David Madigan, Usama M. Fayyad: KDD-99: The Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. SIGKDD Explorations 1(2): 49-51 (2000) |
1998 | ||
10 | Greg Ridgeway, David Madigan, Thomas Richardson, John O'Kane: Interpretable Boosted Naïve Bayes Classification. KDD 1998: 101-104 | |
1997 | ||
9 | Steen A. Andersson, David Madigan, Michael D. Perlman, Christopher M. Triggs: A Graphical Characterization of Lattice Conditional Independence Models. Ann. Math. Artif. Intell. 21(1): 27-50 (1997) | |
8 | Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Themes and Lessons for Data Mining. Data Min. Knowl. Discov. 1(1): 11-28 (1997) | |
1996 | ||
7 | EE | Steen A. Andersson, David Madigan, Michael D. Perlman: An Alternative Markov Property for Chain Graphs. UAI 1996: 40-48 |
6 | EE | Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Inference and Data Mining. Commun. ACM 39(11): 35-41 (1996) |
1995 | ||
5 | EE | Steve Hanks, David Madigan, Jonathan Gavrin: Probabilistic Temporal Reasoning with Endogenous Change. UAI 1995: 245-254 |
4 | EE | David Madigan: Editorial: knowledge-based hypermedia. Int. J. Hum.-Comput. Stud. 43(3): 279 (1995) |
3 | EE | David Madigan, C. Richard Chapman, Jonathan Gavrin, Ole Villumsen, John Boose: Repertory hypergrids for large-scale hypermedia linking. Int. J. Hum.-Comput. Stud. 43(3): 465-481 (1995) |
1994 | ||
2 | EE | David Madigan, C. Richard Chapman, Jonathan Gavrin, Ole Villumsen, John Boose: Repertory Hypergrids: An Application to Clinical Practice Guidelines. ECHT 1994: 117-125 |
1 | EE | Tapas Kanungo, Robert M. Haralick, Henry S. Baird, Werner Stuetzle, David Madigan: Document Degradation Models: Parameter Estimation and Model Validation. MVA 1994: 552-557 |